Skip to main content

Dynamic Engine Emission Models

  • Chapter

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 402))

Abstract

The classical trade off between nitrogen oxides (NO x) and particulate matters (PM) is still one of the key topics for Diesel engine developers. This article gives an overview about models for these emissions usable for online engine and exhaust after treatment control, offline optimization and virtual sensors for monitoring. Two different ways for obtaining such models are presented in detail: first we present a black-box data-based mean value model which estimates engine raw emissions from quantities available in the engine control unit. Second a gray-box model is shown in which also physical equations are used to describe emission formation over crank angle with the measured cylinder pressure as main input.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   139.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   179.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Box, G.E.P., Cox, D.R.: An analysis of transformation. Journal of the Royal Statistical Society 26(2), 211–252 (1964)

    MATH  MathSciNet  Google Scholar 

  2. Chen, J., Yu, C.: Optimal input design using generalized binary sequence. Automatica 33(11), 2081–2084 (1997)

    Article  MATH  MathSciNet  Google Scholar 

  3. del Re, L., Langthaler, P., Furtmueller, C., Winkler, S., Affenzeller, M.: Nox virtual sensor based on structure identification and global optimization. SAE, Paper 2005-01-0050 (2005)

    Google Scholar 

  4. Hafner, M., Schueller, M., Nelles, O., Isermann, R.: Fast neural networks for diesel engine control. Control Engineering Practice 8, 1211–1221 (2000)

    Article  Google Scholar 

  5. Heider, G., Woschni, G., Zeillinger, K.: 2-zonene rechenmodell zur vorausberechnung der no-emissionen. MTZ 59, 770–775 (1998)

    Google Scholar 

  6. Henig, C.: University of Hamburg, Department of Mathematics (2004)

    Google Scholar 

  7. Heywood, J.B.: McGraw-Hill series in mechanical engineering (1988)

    Google Scholar 

  8. Hiroyasu, H., Kadota, T.: Development and use of a spray combustion modelling to predict diesel engine efficiency and pollutant emission. The Japan Society of Mechanical Engineers 26, 569–575 (1983)

    Google Scholar 

  9. Hirsch, M., Alberer, D., del Re, L.

    Google Scholar 

  10. Hirsch, M., del Re, L.: Adapted d-optimal experimental design for transient emission models of diesel engines. SAE, Paper 2009-01-0621 (2009)

    Google Scholar 

  11. Hottel, H.G., Broughten, F.P.: Determination of true temperature and total radiation form luminous gas flames. Industrial and Engineering Chemistry: Analytical Edition 4(2), 166–174 (1932)

    Article  Google Scholar 

  12. Johnson, R.A., Wicher, D.W.: Applied multivariate statistical anlaysis. Prentice-Hall, Englewood Cliffs (1998)

    Google Scholar 

  13. Jung, D., Assanis, D.: Multi-zone di diesel spray combustion model for cycle simulations studies of engine performance and emissions. SAE, Paper 2001-01-1246 (2001)

    Google Scholar 

  14. Karagiorgis, S., Glover, K., Collins, N.: Control challenges in automotive engine management. European Journal of Control 13, 92–104 (2007)

    Article  Google Scholar 

  15. Kozuch, P.: University Stuttgart (2004)

    Google Scholar 

  16. Li, X., Wallace, J.S.: In-cylinder measurement of temperatures and soot concentration using the two-color method. SAE, Paper 950848 (1995)

    Google Scholar 

  17. Ljung, L.: PTR Prentice Hall infromation and system science series. Prentice Hall PTR, Englewood Cliffs (1999)

    Google Scholar 

  18. Mohammad, I.S., Borman, G.L.: Measurement of soot and flame flame temperature along three directions in the cylinder of direct injection diesel. SAE, Paper 910728 (1991)

    Google Scholar 

  19. Ouenou-Gamo, S., Ouladsine, M., Rachid, A.: Measurement and prediction of diesel engine exhaust emissions. ISA Transactions 37, 135–140 (1998)

    Article  Google Scholar 

  20. Piroddi, L., Spinelli, W.: An identification algorithm for polynomial narx models on simulation error minimization. International Journal of Control 76(17), 1767–1781 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  21. Pischinger, R., Klell, M., Sams, T.: PTR Prentice Hall infromation and system science series. Springer, Heidelberg (2002)

    Google Scholar 

  22. Pukelsheim, F.: SIAM - classics in applied mathematics. SIAM, Philadelphia (2006)

    Google Scholar 

  23. Schubinger, R.: ETH Zurich (2001)

    Google Scholar 

  24. Urlaub, A.: Springer, Heidelberg (1989)

    Google Scholar 

  25. Vanhaelst, R.: University Magdeburg (2003)

    Google Scholar 

  26. Wang, G., Li, G., Liu, Y., Chen, L., Zhang, X., Lu, J.: A developed model for emission prediction of a diesel engine. SAE, Paper 1999-01-0233 (1999)

    Google Scholar 

  27. Warnatz, J., Maas, U., Dibble, R.W.: Springer, Berlin (1999)

    Google Scholar 

  28. Zeldovich, Y.B.: The oxidation of nitrogen in combustion ans explosions. Acta Physiochemica, URSS 21 (1946)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer London

About this chapter

Cite this chapter

Hirsch, M., Oppenauer, K., del Re, L. (2010). Dynamic Engine Emission Models. In: del Re, L., Allgöwer, F., Glielmo, L., Guardiola, C., Kolmanovsky, I. (eds) Automotive Model Predictive Control. Lecture Notes in Control and Information Sciences, vol 402. Springer, London. https://doi.org/10.1007/978-1-84996-071-7_5

Download citation

  • DOI: https://doi.org/10.1007/978-1-84996-071-7_5

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84996-070-0

  • Online ISBN: 978-1-84996-071-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics